I would say, its time for you to upgrade to Apple Silicon. Even the entry level 16GB Macbook Air M1 would beat vaporize the Intel in terms of performance.

It becomes an entirely different machine. It would not only run/compile your projects much faster, but also literally will have twice to thrice the battery life, and never ever makes noise or get hot. I would only recommend at least a 512GB storage though.

I used to passionately HATE using Macs pre-Apple Silicon era and work 24x7 with Linux at that time, but today I doubt if I will ever use anything other than a Macbook for all my needs. The only reason is Apple Silicon

Ya the M* Macbooks are a order of magnitude faster than the old intel boxes.

I really have to say after moving to a M3 Macbook from Intel jesus its smooth, and the battery feels like it never goes down.

What RAM did you get? I find it odd they are shipping them with 18GB these days lol

Any M1/M2/M3 Pro chip will blow your mind compared to any previous Intel MacBook Pro.

I regret waiting for M2 Pro and wasted so much time working on a slow 2017 MacBook Pro.

The battery in my 2017 work-supplied MBP exploded, and they replaced it with a 2019, which has even slower single core performance. In this economy we're not buying any new machines, just stockpiling old ones from layoffs as reserves. So I'll be stuck with Intel for the foreseeable future - assuming I have that sort of job security.

2019 was a low moment for macbooks. the 2019 (last intel macbook) I had was trash, overheated poor battery life, docker would lag it into oblivion, etc.

Unless you need x86 compatibility, the M-series machines will be much faster. Check out the old M1 reviews for comparisons to Intel machines. They've only gotten faster since then.

But Xcode's issues are Xcode, not the processor. It will still hang the main thread whenever it wants, just for a bit less time, and your Swift builds will be faster, even if it still doesn't scale linearly with core count.

Here is one review https://youtu.be/QSw7_oSFzts?si=OC8zOLEJm7UETZQL

> Seems like a strange test then..

We already have popular benchmarks like Geekbench that include real world workloads borrowed from popular open source software.

For instance, Geekbench includes (among others) a subtest that compiles an open source Lua interpreter using Clang, and another that uses Google's PDFium to render PDF files.

https://www.geekbench.com/doc/geekbench6-benchmark-internals...

Those tests haven't been analyzed to break down the contribution of P vs E cores, how much of it comes from frequency and how much from IPC, power consumption and throttling performance, etc.